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I am a results-oriented Geologist with a Master's in Petroleum and Mining Engineering and professional experience in data science and machine learning. I have a proven track record applying unsupervised and semi-supervised ML and advanced analytics to large-scale datasets, developing automated solutions, and delivering insights via Power BI and dashboards. Skilled in Python, cloud platforms like AWS and Azure, and data engineering tools, I am passionate about designing, deploying, and optimizing data-driven systems across diverse industries. Currently, I work at Eni ReWind where I apply advanced machine learning techniques to environmental datasets for hydrochemical anomaly detection and real-time monitoring, contributing also to academic research in groundwater reclamation. I continuously enhance my expertise through advanced coursework and certifications in AI, cloud computing, data visualization, and GIS technologies.…I am a results-oriented Geologist with a Master's in Petroleum and Mining Engineering and professional experience in data science and machine learning. I have a proven track record applying unsupervised and semi-supervised ML and advanced analytics to large-scale datasets, developing automated solutions, and delivering insights via Power BI and dashboards. Skilled in Python, cloud platforms like AWS and Azure, and data engineering tools, I am passionate about designing, deploying, and optimizing data-driven systems across diverse industries. Currently, I work at Eni ReWind where I apply advanced machine learning techniques to environmental datasets for hydrochemical anomaly detection and real-time monitoring, contributing also to academic research in groundwater reclamation. I continuously enhance my expertise through advanced coursework and certifications in AI, cloud computing, data visualization, and GIS technologies.

Cristian Sanchez

Data Scientist, AI Engineer, Data Analyst, +1

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I am a results-oriented Geologist with a Master's in Petroleum and Mining Engineering and professional experience in data science and machine learning. I have a proven track record applying unsupervised and semi-supervised ML and advanced analytics to large-scale datasets, developing automated solutions, and delivering insights via Power BI and dashboards. Skilled in Python, cloud platforms like AWS and Azure, and data engineering tools, I am passionate about designing, deploying, and optimizing data-driven systems across diverse industries. Currently, I work at Eni ReWind where I apply advanced machine learning techniques to environmental datasets for hydrochemical anomaly detection and real-time monitoring, contributing also to academic research in groundwater reclamation. I continuously enhance my expertise through advanced coursework and certifications in AI, cloud computing, data visualization, and GIS technologies.…I am a results-oriented Geologist with a Master's in Petroleum and Mining Engineering and professional experience in data science and machine learning. I have a proven track record applying unsupervised and semi-supervised ML and advanced analytics to large-scale datasets, developing automated solutions, and delivering insights via Power BI and dashboards. Skilled in Python, cloud platforms like AWS and Azure, and data engineering tools, I am passionate about designing, deploying, and optimizing data-driven systems across diverse industries. Currently, I work at Eni ReWind where I apply advanced machine learning techniques to environmental datasets for hydrochemical anomaly detection and real-time monitoring, contributing also to academic research in groundwater reclamation. I continuously enhance my expertise through advanced coursework and certifications in AI, cloud computing, data visualization, and GIS technologies.

Available to hire

I am a results-oriented Geologist with a Master’s in Petroleum and Mining Engineering and professional experience in data science and machine learning. I have a proven track record applying unsupervised and semi-supervised ML and advanced analytics to large-scale datasets, developing automated solutions, and delivering insights via Power BI and dashboards. Skilled in Python, cloud platforms like AWS and Azure, and data engineering tools, I am passionate about designing, deploying, and optimizing data-driven systems across diverse industries.

Currently, I work at Eni ReWind where I apply advanced machine learning techniques to environmental datasets for hydrochemical anomaly detection and real-time monitoring, contributing also to academic research in groundwater reclamation. I continuously enhance my expertise through advanced coursework and certifications in AI, cloud computing, data visualization, and GIS technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Italian

Intermediate

Spanish; Castilian

Fluent

Work Experience

Environmental Data Scientist at Eni ReWind

January 20, 2024 - Present

Applied unsupervised and semi-supervised machine learning techniques for time series anomaly detection in hydrochemical data, delivering insights through interactive Power BI dashboards. Performed clustering of time series and sampling points to identify patterns. Developed automated analysis and alert systems for real-time monitoring integrating multiple ML models and advanced statistics with Power BI and scheduled reports. Processed, cleaned, validated, and standardized large hydrochemical datasets from nationwide sites for ingestion into an enterprise Oracle database using Python, Power Query, and Microsoft Fabric. Developed a full-stack desktop application to automate dataset validation and reformatting for ENI Rewind templates. Tested and developed forecasting models such as ARIMA and ML approaches to predict chemical concentrations over time.

Research Fellow at Politecnico di Torino

January 1, 2024 - Present

Contributed to commercial research projects in GIS, Data Management, and Data Science in collaboration with the Groundwater Engineering Research Group for polluted site reclamation. Presented research on unsupervised machine learning for hydrochemical time series anomaly detection at GEOAI 2024 and SICON 2025 conferences. Completed a Master's course on Machine Learning and Data Science for Engineering Applications with high scores, including a top project on Metro Interstate Traffic Volume Prediction.